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» Pinview: Implicit Feedback in Content-Based Image Retrieval
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MTA
2008
146views more  MTA 2008»
15 years 9 days ago
A survey of browsing models for content based image retrieval
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...
Daniel Heesch
AIRS
2009
Springer
15 years 4 months ago
Enabling Effective User Interactions in Content-Based Image Retrieval
Abstract. This paper presents an interactive content-based image retrieval framework--uInteract, for delivering a novel four-factor user interaction model visually. The four-factor...
Haiming Liu 0002, Srdan Zagorac, Victoria S. Uren,...
ISCIS
2009
Springer
15 years 7 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj
ICIP
2010
IEEE
14 years 10 months ago
Image retrieval with feature selection and relevance feedback
This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
Yu Sun, Bir Bhanu
85
Voted
ICMI
2009
Springer
164views Biometrics» more  ICMI 2009»
15 years 7 months ago
GaZIR: gaze-based zooming interface for image retrieval
We introduce GaZIR, a gaze-based interface for browsing and searching for images. The system computes on-line predictions of relevance of images based on implicit feedback, and wh...
László Kozma, Arto Klami, Samuel Kas...